DK-CLARIN Parallel Financial Corpus (da-en)

Hansen, Dorte Haltrup; Offersgaard, Lene

dc.creator	Hansen, Dorte Haltrup
dc.creator	Offersgaard, Lene
dc.date.accessioned	2018-06-11T15:12:05Z
dc.date.available	2018-06-11T15:12:05Z
dc.date.issued	2011
dc.identifier.uri	http://hdl.handle.net/20.500.12115/18
dc.description	The DK-CLARIN Parallel Financial Corpus comprises 4.3 M Danish and 4.8 M English tokens from translated (parallel) documents, mainly annual reports, of the period 2002-2010 from 12 of the biggest Danish companies. All texts are in XML TEIP5 format (TEIP5DKCLARIN-format), with tokenisation, pos-tagging, sentence and paragraph segmentation, lemmatisation and termhood annotation placed in separate text external spangroups. The corpus was collected and processed in the work package 2.6 of the Danish CLARIN project (see http://dkclarin.ku.dk/english) by University of Copenhagen, Centre for Language Technology. The aim of the Danish CLARIN consortium was to construct a Danish research infrastructure for the humanities integrating written, spoken, and visual records into a coherent and systematic digital repository. The project ran from January 2008 until the end of 2010.
dc.language.iso	dan
dc.language.iso	eng
dc.publisher	Centre for Language Technology, NorS, University of Copenhagen
dc.rights	CLARIN-ACA-NC
dc.rights.uri	https://kitwiki.csc.fi/twiki/bin/view/FinCLARIN/ClarinEulaAca?ID=1&AFFIL=EDU&BY=1&NC=1&NORED=1
dc.rights.label	ACA
dc.subject	Economics
dc.title	DK-CLARIN Parallel Financial Corpus (da-en)
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
has.files	yes
branding	CLARIN-DK
contact.person	Administrator; CLARIN-DK; info@clarin.dk; Centre for Language Technology, NorS, University of Copenhagen
sponsor	n/a; n/a; DK-CLARIN; nationalFunds;
size.info	4343072; tokens
size.info	4854172; tokens
size.info	90; files
files.size	190604631
files.count	7
annotationInfo.annotationType	tokenization
annotationInfo.annotationType	sentence and paragraph segmentation
annotationInfo.annotationType	POS-tagging
annotationInfo.annotationType	lemmatization
annotationInfo.annotationType	termhood scoring